TidalWavelet

基于定义法的计算最大李雅普诺夫指数程序。。给出了一个lorenz系统的例子..(Based on the definition of the method of calculation of the largest Lyapunov exponent procedures. . Gives the example of a the lorenz system is the ..)

matlab simulink 小电流中性点不接地，相间短路故障暂态仿真(nutural point not ground， phase short cut)

该文件是使用粒子群算法来求解BP神经网络饿最优解，进而对样本数据训练学习(The document is the use of particle swarm optimization to solving hunger BP neural network the optimal solution, and then the training sample data for the study)

自己按照TPAMI文章编写的approximate pairwise accuracy criterion (aPAC)。已测试无误，并提供该代码所对应的文章。(This matlab code is writtern by myself,namely approximate pairwise accuracy criterion (aPAC)。The paper corrsponding to code is also provided.)

matlab file eleven level mli

1、掌握用MATLAB计算拉格朗日、分段线性、三次样条三种插值的方法，改变节点的数目，对三种插值结果进行初步分析。 2、掌握用MATLAB作线性最小二乘的方法。 3、通过实例学习如何用插值方法与拟合方法解决实际问题，注意二者的联系和区别。(1. Grasp by matlab calculating Lagrange, segement linear, 3rd order spline these 3 interpolation method. Analisize the 3 interpolation results by changing the No. of points. 2. Grasp the method of linear minimun 2 product mehtod using matlab. 3. Solve the practical problems though the study of example of how to use interpolation and fitting method. Pay attention to the relation and difference of the 2 methods.)

说明：  一些各种滤波的程序，包括中值，均值，高斯滤波(Some of the various filtering procedures, including median, mean, Gaussian filter)

serial RS232 in control used matlab for motor

一个EKF调试程序，主要是调用simulink的数据，并通过EKF来模拟在线仿真的效果(An EKF debugger, mainly call simulink data, and through EKF online simulation to simulate the effect of)

遗传算法GA—模拟自然界遗传机制和生物进化论而成的一种并行随机搜索最优化方法。（具有“生存+检测”的迭代过程的搜索算法）基于自然界“优胜劣汰，适者生存”的生物进化原理引入优化参数形成的编码串联群体中，按照所选择的适应度函数并通过遗传中的选择、交叉和变异对个体进行筛选，使适应度值好的个体被保留，适应度差的个体被淘汰，新的群体既继承了上一代的信息，又优于上一代。反复循环，直至满足条件。(GA-A parallel random search optimization method that simulates natural genetic mechanisms and biological evolution. (Search algorithm with "survival + detection" iterative process) Based on the biological evolution principle of "survival of the fittest, survival of the fittest" in the natural world, the coding series formed by optimized parameters is introduced. Individuals are screened according to the selected fitness function and through genetic selection, crossover, and variation, so that individuals with good fitness values are retained, individuals with poor adaptability are eliminated, and new groups inherit the information of the previous generation., Better than the last generation. Repeat until conditions are met.)